Multiresolution analysis of vibration signals acquired from locomotive Diesel engine for classification of engine states basing on signal statistical parameters

Piotr BOGUŚ; Mateusz CIESZYŃSKI; Jerzy MERKISZ

doi:10.19206/CE2017-111

1/2017 vol. 168

Multiresolution analysis of vibration signals acquired from locomotive Diesel engine for classification of engine states basing on signal statistical parameters

Piotr BOGUŚ ^1,2

Mateusz CIESZYŃSKI ¹

Jerzy MERKISZ ³

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Department of Physics and Biophysics of Medical University of Gdańsk,

Rail Vehicle Institute TABOR in Poznań

Faculty of Machines and Transport at Poznan University of Technology.

Publication date: 2017-02-01

Combustion Engines 2017,168(1), 68-72

DOI: https://doi.org/10.19206/CE2017-111

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References (14) Citations (1)

KEYWORDS

vibration signals

Diesel engine diagnostic

multiresolution analysis

classification

ABSTRACT

The paper presents a method of classification of locomotive Diesel engine states basing on vibration signals taken from an engine body and using chosen statistical parameters calculated for the original signal and it wavelet multiresolution components. The researches presented in the paper concern estimation of an engine states before and after a general repair. The target application of the presented researches is an on-line diagnostic system which can complement standard OBD systems. To this purpose the applied methods should not base on complex analysis of some spectral, time-frequency or scalogram plots but rather on choosing single diagnostic parameters which are suitable for the fast on-line diagnostic. The results have showed the significant difference in distinguishing of engine work before and after a general repair using some chosen statistical parameters applied to vibration signals.

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CITATIONS (1):

Estimation of fuel consumption in a jet engine based on vibration signal parameters
Grzegorz Szymański, Bartłomiej Cywka, Daniel Mokrzan, Wojciech Prokopowicz
Combustion Engines

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